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Remote Signal Processing Research Jobs in Virginia

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.

Principal Electrical Systems Engineer

Herndon, VA · On-site +1

$142K - $174K/yr

... remote sensing technologies for demanding spaceflight applications. This position is ideal for an ... Support multiple concurrent R&D and production programs spanning NASA, DoD, and commercial space ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.

... signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering coursework, research, and ...

Emphasizes bridging pure mathematics with practical applications, connecting theory to fluid dynamics, signal processing, and operations research contexts. * Curriculum Awareness & Adaptive ...

Emphasizes bridging pure mathematics with practical applications, connecting theory to fluid dynamics, signal processing, and operations research contexts. * Curriculum Awareness & Adaptive ...

Emphasizes bridging pure mathematics with practical applications, connecting theory to fluid dynamics, signal processing, and operations research contexts. * Curriculum Awareness & Adaptive ...

Emphasizes bridging pure mathematics with practical applications, connecting theory to fluid dynamics, signal processing, and operations research contexts. * Curriculum Awareness & Adaptive ...

... signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering coursework, research, and ...

Showing results 41-60

Remote Signal Processing Research information

What are the key skills and qualifications needed to thrive as a Remote Signal Processing Researcher, and why are they important?

To excel as a Remote Signal Processing Researcher, you need a strong background in mathematics, signal processing theory, and programming, typically supported by an advanced degree in electrical engineering or a related field. Familiarity with MATLAB, Python (NumPy/SciPy), and simulation tools, along with experience in data analysis and machine learning frameworks, is highly valuable. Strong analytical thinking, effective written communication, and self-motivation are crucial soft skills for remote collaboration and independent research. These competencies are vital for developing innovative solutions, publishing impactful research, and effectively contributing to distributed research teams.

What are some typical challenges faced when working remotely in a Signal Processing Research role?

Working remotely in Signal Processing Research often involves coordinating with multidisciplinary teams across different time zones, which can make real-time collaboration and problem-solving more challenging. Additionally, accessing specialized hardware or laboratory equipment may be limited, requiring creative solutions for simulation and data analysis. However, most organizations provide robust digital collaboration tools and remote access to computational resources, allowing researchers to effectively contribute to projects and publications. Open communication and proactive project management are key to overcoming these challenges.

What is the difference between Remote Signal Processing Research vs Remote Audio Signal Processing Engineer?

AspectRemote Signal Processing ResearchRemote Audio Signal Processing Engineer
Required CredentialsAdvanced degrees in electrical engineering, signal processing, or related fieldsBachelor's or master's in electrical engineering, audio engineering, or similar
Work EnvironmentResearch labs, universities, or corporate R&D teams, often focused on innovationProduct development teams, audio technology companies, or consumer electronics firms
Industry UsagePrimarily in research institutions, academia, or R&D departmentsIn manufacturing, software development, and consumer electronics industries

Remote Signal Processing Research involves exploring new algorithms and theories in signal processing, often within academic or R&D settings. In contrast, Remote Audio Signal Processing Engineers focus on applying existing techniques to develop audio products and solutions. Both roles require strong technical skills, but their focus and work environments differ significantly.

What is remote signal processing research?

Remote signal processing research involves analyzing and interpreting signals—such as audio, video, or sensor data—collected from remote sources. Researchers in this field develop algorithms and techniques to filter, enhance, and extract useful information from these signals, often using tools like machine learning. This work is vital in areas such as telecommunications, medical imaging, and environmental monitoring. The 'remote' aspect means that researchers can perform these tasks from locations outside of traditional labs or offices, often collaborating online.
What are the most commonly searched types of Signal Processing Research jobs in Virginia? The most popular types of Signal Processing Research jobs in Virginia are:
What are popular job titles related to Remote Signal Processing Research jobs in Virginia? For Remote Signal Processing Research jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Signal Processing Research jobs in Virginia look for? The top searched job categories for Remote Signal Processing Research jobs in Virginia are:
What cities in Virginia are hiring for Remote Signal Processing Research jobs? Cities in Virginia with the most Remote Signal Processing Research job openings:
Infographic showing various Remote Signal Processing Research job openings in Virginia as of July 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Software Engineer, Senior

GRVTY

Herndon, VA • On-site, Remote

$126K - $166K/yr

Other

Posted 29 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Herndon, Virginia. This is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments.

You will work directly with scientists, sensor domain experts, and intelligence analysts - translating complex technical requirements into functional, maintainable software. This is not a role for someone looking to coast. We want someone who is technically sharp, can operate with a degree of autonomy, and understands that the software they build has real downstream impact on mission outcomes.

What You'll be Owning

  • Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows.
  • Work with sensor physicists, data scientists, and machine learning engineers to translate technical concepts and mission requirements into working software.
  • Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets.
  • Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets.
  • Create clear software architecture documentation, workflow diagrams, and code structure so tools can be maintained, extended, and transitioned effectively.
  • Test, validate, and troubleshoot algorithms and software modules across development and deployment environments, including classified workspaces.
  • Manage and maintain Git repositories with discipline - clean commits, meaningful documentation, and reproducible builds.
  • Contribute to a culture of technical rigor: peer reviews, coding standards, and honest engagement with complex problems.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered.
    • 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience with a Masters degree
  • Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code.
  • Experience developing software for data-intensive workflows - sensor data, scientific data, simulation, or equivalent.
  • Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans.
  • Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces.
  • Familiarity with source control and development tooling: Git, GitLab, Bitbucket, Jira, Jenkins, or equivalent.
  • Strong communication skills - able to work directly with domain experts who are not software engineers and translate what they need into software that actually works.

What Would be Nice to Have

  • Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing.
  • Familiarity with machine learning frameworks and workflows: PyTorch, TensorFlow, scikit-learn, or equivalent.
  • Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar.
  • Background in signal processing, image processing, or remote sensing data workflows.
  • Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.
  • Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and deployment workflows.
  • Experience integrating algorithms into existing operational software suites.
  • Proficiency in a secondary technical language: C, C++, MATLAB, Java, or Rust.
  • Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related).
  • Prior experience supporting defense, intelligence, or classified customer environments.
  • Experience with CI/CD practices, automated testing, and DevSecOps tooling.